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Artificial Intelligence and Big Data Applications for Business unit (BEA319)

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Unit year 2027

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Introduction

AI and Big Data are popular buzzwords that are generating significant interest by businesses in today’s digital world. Business managers are increasingly investing in these technologies with the hope that automation and access to more data can lead to cost savings, create new business opportunities and sustain competitive advantages. This unit seeks to demystify AI and Big data for business managers and to engender critical reflection on the unintended consequences and ethical issues for businesses associated with the introduction of these emerging technologies.

Summary

Unit name Artificial Intelligence and Big Data Applications for Business
Unit code BEA319
Credit points 12.5
College/School Tasmanian School of Business and Economics
Discipline Finance
Coordinator Doctor Glenn Finau
Available as an elective? Yes
Delivered By University of Tasmania and Third Party(ies): ECA
Level Advanced

Availability

Specific information on 2027 unit availability will be available in August

Learning Outcomes

  • Describe the local and global impact of AI and Big data on individuals, organisations, and society
  • Appraise AI technologies and cloud computing services for businesses.
  • Solve complex business problems using artificial intelligence and big data technologies.
  • Critically evaluate the ethical issues and risks associated with AI and big data for businesses.
  • Recommend appropriate approaches for the tactical implementation of AI and Big Data for businesses.

Fee Information

2027 fee information will be available in August.

Requisites

Prerequisites

BEA212 Fundamentals of Business Analytics

Teaching

Teaching Pattern

Pre-recorded Blended Lecture (online), Up to 1.5 hours (3-5 short lectures of maximum 20 minutes each), weekly.

Blended Workshop (face to face and via zoom) for 180 minutes. 4 blocks of 3 hour workshops.

AssessmentAnalytics Implementation Plan Project (30%)|AI Solution Evaluation Report and Presentation (35%)|Strategic AI and Big Data Evaluation Portfolio (35%)
TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Required readings will be listed in the unit outline prior to the start of classes.

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